Which Data Types Can Be Used With a Record Type?


Angela Bailey

When working with record types in programming, it is important to understand the different data types that can be used. The choice of data type can greatly impact the functionality and efficiency of your code. In this article, we will explore the various data types that can be used with a record type.

What is a Record Type?

A record type, also known as a structure or composite type, is a user-defined data type that allows you to store multiple values of different data types together. It is particularly useful when you want to group related data together into a single entity.

Data Types Compatible with Record Types

Record types can contain fields of different data types. Let’s take a look at some common data types that are compatible with record types:

  • Integer: This data type is used to store whole numbers without decimal places. It is commonly used for counting or indexing purposes.
  • Float: Float represents numbers with decimal points. It is suitable for storing values that require precision, such as measurements or calculations involving fractions.
  • String: Strings are sequences of characters.

    They are widely used for storing text-based information like names, addresses, or any other textual content.

  • Boolean: Booleans represent logical values – true or false. They are often used in conditional statements or to represent the state of something.
  • Date and Time: These data types allow you to store specific points in time or durations. They are essential for handling tasks related to scheduling, logging events, or calculating differences between dates.

Note on Custom Data Types

In addition to the basic data types mentioned above, record types can also include fields of custom data types. Custom data types are created by the programmer and can be defined based on the specific needs of the program being developed. This allows for greater flexibility and abstraction when working with complex data structures.

Example Usage

Let’s consider an example where we want to store information about a person using a record type:

type Person = {
  name: string;
  age: number;
  birthDate: Date;
  isStudent: boolean;

In this example, we have defined a record type called ‘Person’ which includes fields for ‘name’ (string), ‘age’ (number), ‘birthDate’ (Date), and ‘isStudent’ (boolean). Each field has its own data type, allowing us to store and retrieve specific information about a person.


Record types offer a powerful way to organize and manage complex data structures in programming. By understanding the different data types that can be used with record types, you can create more efficient and expressive code. Whether it’s integers, floats, strings, booleans, or even custom data types, record types provide the flexibility needed to model real-world entities effectively.

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